Visualizations of 1st Semester Attendance and Course Completion Data

Overview

This document shows some visualizations of the data from 1st and 2nd quarter attendance rates (ADA), grade point averages (GPA) and course passage rates.

Section 1: Univariate Analysis

All of these variables are heavily skewed to the left, meaning the vast majority of students have strong attendance, course passage, and GPA.

Section 2: Bivariate Analysis - Numerical

For each 1% increase in ADA, our model predicts a 0.04 point increase in quarter GPA. Overall, 51% of the variation in a student’s quarter GPA is explained by the linear relationship with their ADA.

For each 1% increase in ADA, this model predicts a 0.04% increase in quarter course passage rate. Overall, 89% of the variation in a student’s quarter course passage rate is explained by the linear relationship with their ADA.

Section 3: Bivariate Analysis - Categorical

Each of these graphs breaks down the data categorically, which may be easier visually than scatterplots.